A University Framework for the Responsible Use of Generative AI in Research
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| Title: | A University Framework for the Responsible Use of Generative AI in Research |
|---|---|
| Language: | English |
| Authors: | Shannon Michelle Smith (ORCID |
| Source: | Journal of Higher Education Policy and Management. 2026 48(1):17-36. |
| Availability: | Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals |
| Peer Reviewed: | Y |
| Page Count: | 20 |
| Publication Date: | 2026 |
| Document Type: | Journal Articles Reports - Evaluative |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Artificial Intelligence, Foreign Countries, Models, Research Universities, Research, Ethics, Integrity |
| Geographic Terms: | Australia |
| DOI: | 10.1080/1360080X.2025.2509187 |
| ISSN: | 1360-080X 1469-9508 |
| Abstract: | AI poses both opportunities and risks for the integrity of research. Universities must guide researchers in using AI responsibly and in navigating a complex regulatory landscape subject to rapid change. Drawing on the consultative experiences of two Australian universities, we propose a framework to help institutions promote and facilitate the responsible use of AI. We provide guidance to help distil the diverse regulatory environment into a principles-based university stance through the core values of honesty, transparency and accountability. Further, we explain how a written stance can serve as a foundation for initiatives in training, communications, infrastructure and process change. This paper underscores the urgency for research institutions to take action in this area and suggests a practical and adaptable framework to do so. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | EJ1505104 |
| Database: | ERIC |
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